Book DescriptionThis notes cover an introduction to neural networks in which basic concepts, techniques and ideas are given priority over lengthy mathematical proofs and technical detail. After an introduction and review of notation, several basic models are introduced starting with the TLU and progressively presenting more advanced models.

The notes is not specifically aimed towards computer science students, since it also has other backgrounds in mind. It does however requires a sufficient background in science/math (basic algebra and geometry and vectors).

This book has formed the basis of a book, An Introduction to Neural Networks, which contains a significant increase in material, including sections on ART, RBFs, PCA, digital nodes, alternative views of network function, applications, plus many more diagrams, etc.